Job Description
Join the Vanguard of Future Technology
Nova Horizon Systems is pioneering the next generation of intelligent infrastructure. As we accelerate towards our 2026 operational targets, we are looking for a strategic Future Tech Lead to steer our AI and Quantum computing initiatives. This is not just a job; it is a mission to shape the technological reality of the decade.
Why This Role Matters
In 2026, the convergence of Generative AI, Edge Computing, and Quantum Readiness will redefine industry standards. You will be at the forefront of this transition, ensuring our platforms are scalable, secure, and infinitely adaptable to the demands of tomorrow.
What You Will Do
As a Future Tech Lead, you will bridge the gap between visionary strategy and technical execution. You will work closely with C-suite executives and R&D teams to build a roadmap that ensures Nova Horizon remains the market leader through 2026 and beyond.
Responsibilities
- Strategic Roadmapping: Define the 3-5 year technical vision for AI integration and quantum readiness, aligning with corporate goals for 2026.
- R&D Leadership: Lead a cross-functional team of engineers and data scientists to prototype and validate cutting-edge technologies.
- System Architecture: Design robust, scalable systems that can handle the exponential growth of data anticipated in 2026.
- Ethical AI Oversight: Establish and enforce guidelines for responsible AI development, ensuring transparency and fairness in algorithmic decision-making.
- Market Intelligence: Analyze emerging tech trends to identify opportunities for competitive advantage and innovation.
- Talent Development: Mentor high-potential engineers and foster a culture of continuous learning and technical excellence.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 10+ years of experience in software engineering, with at least 5 years in a leadership or architectural role.
- Tech Stack: Deep expertise in Python, TensorFlow/PyTorch, Cloud Architecture (AWS/Azure/GCP), and distributed systems.
- Future-Forward Mindset: Proven track record of identifying and implementing emerging technologies (e.g., LLMs, Edge AI, Quantum concepts).
- Communication: Exceptional ability to translate complex technical concepts into business value for non-technical stakeholders.
- Certifications: Professional certifications in Cloud Architecture or AI Ethics are a strong plus.